gauravfs-14/awesome-tinyml
A carefully curated collection of high-quality libraries, projects, tutorials, research papers, and other essential resources focused on TinyML — the intersection of machine learning and ultra-low-power embedded systems.
This collection helps researchers and engineers working with ultra-low-power embedded systems find resources for deploying machine learning models on edge devices. It provides a curated list of libraries, projects, tutorials, and research papers focused on TinyML, enabling users to keep up with the latest advancements in running intelligent models with limited compute, memory, and power. This resource is ideal for those developing solutions for wearables, smart sensors, and autonomous systems.
Use this if you need to find comprehensive, up-to-date resources for designing and implementing machine learning solutions on resource-constrained embedded devices like microcontrollers.
Not ideal if you are looking for ready-to-use, off-the-shelf TinyML models or a step-by-step guide for a specific development board.
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Last pushed
Mar 13, 2026
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